Continuous-Time Trajectory Optimization For Online Uav Replanning
Intelligent Robots and Systems(2016)
摘要
Multirotor unmanned aerial vehicles (UAVs) are rapidly gaining popularity for many applications. However, safe operation in partially unknown, unstructured environments remains an open question. In this paper, we present a continuous-time trajectory optimization method for real-time collision avoidance on multirotor UAVs. We then propose a system where this motion planning method is used as a local replanner, that runs at a high rate to continuously recompute safe trajectories as the robot gains information about its environment. We validate our approach by comparing against existing methods and demonstrate the complete system avoiding obstacles on a multirotor UAV platform.
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关键词
continuous-time trajectory optimization,online UAV replanning,multirotor unmanned aerial vehicles,continuous-time trajectory optimization method,real-time collision avoidance,local replanner
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